Title :
Detection of Gait Characteristics for Scene Registration in Video Surveillance System
Author :
Havasi, László ; Szlávik, Zoltán ; Sziranyi, Tamas
Author_Institution :
Peter Pazmany Catholic Univ., Budapest
Abstract :
This paper presents a robust walk-detection algorithm, based on our symmetry approach which can be used to extract gait characteristics from video-image sequences. To obtain a useful descriptor of a walking person, we temporally track the symmetries of a person´s legs. Our method is suitable for use in indoor or outdoor surveillance scenes. Determining the leading leg of the walking subject is important, and the presented method can identify this from two successive walk steps (one walk cycle). We tested the accuracy of the presented walk-detection method in a possible application: Image registration methods are presented which are applicable to multicamera systems viewing human subjects in motion
Keywords :
gait analysis; image registration; image sequences; object detection; video signal processing; video surveillance; gait characteristics detection; image registration methods; multicamera systems; robust walk-detection algorithm; scene registration; video surveillance system; video-image sequences; Cameras; Data mining; Feature extraction; Humans; Layout; Leg; Legged locomotion; Object detection; Robustness; Video surveillance; Image registration; motion analysis; object detection; Algorithms; Artificial Intelligence; Computer Security; Computer Simulation; Gait; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Leg; Models, Biological; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique; Video Recording;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2006.888339
